> For the complete documentation index, see [llms.txt](https://dgpt.gitbook.io/dgpt-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dgpt.gitbook.io/dgpt-docs/project-background/computational-power-as-a-core-production-factor.md). # Computational power as a core production factor Arithmetic and Artificial Intelligence, Arithmetic is the economic backbone of the digital age, the core factor of production, and thanks to the efficient collection and monetisation of user arithmetic, the largest modern tech companies have been built. The tech giants - Meta, Google, Amazon - are essentially arithmetic businesses, creating valuable AI models, recommendation models, AI assistants through cloud computing power ...... thereby becoming the most valuable companies in the world. However, arithmetic is expected to become even more valuable due to the artificial intelligence (AI) boom that the tech industry is experiencing in the coming decades. AI requires more low-cost arithmetic to train more advanced and more complex algorithms - companies that provide high-quality arithmetic will benefit from the surge in demand. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://dgpt.gitbook.io/dgpt-docs/project-background/computational-power-as-a-core-production-factor.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.